Watkins Labs engineers are capable of automating almost any labor-intensive task that demands consistent execution. Whether it’s about setting up an environment, fine-tuning a service, or managing a pipeline, Watkins Labs stands ready to assist. Our extensive experience spans thousands of hours across a diverse range of systems. And we work with most technologies. Got something unique, we will learn it, document it and make it happen.
Your problem Solvers
You need an experience unmatched anywhere else, with knowledgeable and thoughtful consultants plus flexible, tailored approaches — all centered on the right outcomes for your business.
A Fully remote Team that travels
Located in Sugar Hill, Georgia
We’re a Georgia based team, local to each other individually, and fully remote in practice. We offer top services in Central Atlanta and North Georgia, including Alpharetta, Cumming, and Buford. While we thrive in our virtual environment, we’re also frequently on the move and you’ll find us in locations such as New York, Hartford, or Richmond. Our approach combines local expertise with a national reach, ensuring the best solutions no matter where you are.
BUSINESS AND TECHNOLOGY CONSULTING
CENTERED ON YOU
BUSINESS CONSULTING
Envision, inspire and transform your business from the people to the processes.
Technology Services
Plan, develop and deliver technology solutions using custom approaches.
Digital Solutions
Design and build a digital strategy to get where you need to go.
Flat Honest PRICING
Clear, flat upfront pricing you can count on.
Metered on hours worked, not employee count.
Clients holding retainers receive priority work assignments.
We offer private rates to prefered customers, and boutique work.
Metered on hours worked, not employee count.
Clients holding retainers receive priority work assignments.
We offer private rates to prefered customers, and boutique work.
Core Competence
The Power of AI in IT Automation
Developing automation takes time
The increased demand to get things done quickly often takes priority over taking the time to successfully automate IT operations.
Trust in automation rests on correct answers
Automation cannot be trusted if it's driven by outdated facts and data. Teams can only have confidence in automation when it's powered by fact-driven, causal AI.
Automation needs to be everywhere
Automation should be deployed broadly to free up teams to focus on innovation. Today technology makes it possible for teams to automatically act on observability data.
Integration and data flow
Learning Curve Challenges
Adopting new software or APIs often comes with a significant learning curve, posing challenges in terms of time investment and resource allocation for effective integration and utilization.
Compatibility
Ensure that the API is compatible with your existing systems and technology stack. The ease of integration is crucial for a smooth transition and operation. It's important to evaluate how well the API can be integrated with your current software and whether it requires any specific environment or framework.
Performance at scale
Assess the API's performance metrics, such as response times and rate limits. It's important that the API can handle your anticipated load and scale with your business needs. Performance impacts user experience and operational efficiency, so an API that performs consistently under varying loads is preferable.
Generative AI - content, code and chat
Our AI LLM consulting services are designed to meet you wherever you are in your journey. We’ll help you achieve company-wide readiness with a focus on data governance and security, workforce training and adoption, and licensing and implementation needs. Options such as LLAMA2, Star Coder, Microsoft CoPilot and google FLAN UL2 are just a few of your options.
Demystify AI
Which Model to choose
The field of AI is advancing swiftly, with a multitude of models emerging in the market. It's crucial for businesses to discern which AI model aligns best with their specific goals, as each model offers distinct capabilities and incurs varying operational costs.
SAS or On-Prem
In AI, choosing between SaaS and on-premises hosting hinges on factors like privacy and security. On-premises AI solutions offer enhanced control over data. In contrast, AI SaaS is more scalable and cost-effective but relies on external servers, which might pose concerns for businesses with strict data privacy requirements.
Build VS Buy
The choice between building in-house or buying off-the-shelf hinges on specific needs and resources. Building allows customization but demands more resources. Buying offers quick, cost-effective solutions but might lack specificity. Partnering enhances overall effectiveness and integration.
Custom-trained LLMs
- Leverage large language models (LLMs), optimized and custom-trained for your application, security, and business use cases
- Use real-time data to get highly relevant answers, recommendations and results.
Hypermodal AI
- Combine predictive AI, causal AI, and generative AI any way you please.
- Augment data for precise predictions, determinations, and insights.
- Learn prompt enrichment that delivers better recommendations and relevant results.
AI for everyone
- Unlock powerful analytics for new audiences using natural language input.
- Simplify data analytics with queries, effectively drive automation and accelerate onboarding
OUR CORE MINDS
Chris Watkins
Founder / CEO
William Lytle
Lead Engineer
Cherise Waldron
Delivery Lead
Lets get to work together.
We have the experience, knowledge, and flexibility to help you succeed.